We present a scalable algorithm for the parallel computation of inverted files for large text collections. The algorithm takes into account an environment of a high bandwidth netw...
Berthier A. Ribeiro-Neto, Joao Paulo Kitajima, Gon...
The Data Diffusion Machine is a scalable virtual shared memory architecture. A hierarchical network is used to ensure that all data can be located in a time bounded by O(logp), wh...
Henk L. Muller, Paul W. A. Stallard, David H. D. W...
We propose, and justify, an economic theory to guide memory system design, operation, and analysis. Our theory treats memory random-access latency, and its cost per installed mega...
We present an algorithm for modifying delta compressed files so that the compressed versions may be reconstructed without scratch space. This allows network clients with limited ...
We consider the problem of dynamic buying and selling of shares from a collection of N stocks with random price fluctuations. To limit investment risk, we place an upper bound on t...